I\'m working on a program that takes in several (<50) high dimension points in feature space (1000+ dimensions) and performing hierarchical clustering on them by recursively using standard k-cluste
Suppose I have pictures of faces of a set of individuals. The question I\'m trying to answer is: \"do these two pictures represent the same individual\"?
I need to do some heavy machine learning computations. I have a small number of machines idle on a LAN. How many machines would I need in order for distrubuting my computations using hadoop / mapreduc
I have the following problem. I have a training开发者_如何学C dataset comprising of a range of numbers. Each number belongs to a certain class. There are five classes.
so I have this code that uses Weka\'s Java API: String html = \"blaaah\"; Attribute input = new Attribute(\"html\",(FastVector) null);
I need a library for naïve Bayes large scale, with millions of training examples and +100k b开发者_JAVA百科inary features. It must be an online version (updatable after training). I also need top-k o
I\'m trying to create a new string Attribute using Weka\'s Java API... Reading through the API javadocs, it appears that the way to do so is to use this constructor:
I\'m trying to train a single layer of an autoencoder using minFunc, and while the cost function appears to decrease, when enabled, the DerivativeCheck fails. The code I\'m using isas close to textboo
Here is the problem we are trying to solve: Goal is to classify pixels of a colored image into 3 different classes.
I have been looking at the nlp tag on SO for the past couple of hours and am confident I did not miss anything but if I did, please do point me to the question.
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